kaushik4444 / Human-Activity-Recognition-using-Various-Machine-Learning-and-Deep-Learning-models

Basketball Game Activities recognition (HAR) using Classical Machine Learning techniques and also Deep Learning algorithms and a brief comparison between them.

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Development of Various Machine Learning and Deep Learning models for Human Activity Recognition

Basketball Game Activities recognition (HAR) using Classical Machine Learning techniques and also Deep Learning algorithms and a brief comparison between them.

• Fused the data from e-sense and bangle.js sensors together after data cleaning, handling missing data, and resampling using interpolation.

• Implemented Sliding window technique and Stratified splitting technique and performed per-subject and cross-subject validations.

• Trained and worked on optimization of KNN, SVM, CNN, and LSTM networks.

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Basketball Game Activities recognition (HAR) using Classical Machine Learning techniques and also Deep Learning algorithms and a brief comparison between them.


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